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About
Reporting into the Data Systems Manager, the Data Systems Executive is a key position within the Operations arm of the Moorepay marketing team. The role will work with key stakeholders within the wider Data Operations team to enable and maintain the 'Moorepay Data Platform' (MDP). This includes managing data quality as well as administration and maintenance of the ETL Engine and the Data Lakehouse, enabling the business to build value-adding data products at scale to support core business objectives.
About
Reporting into the Data Systems Manager, the Data Systems Executive is a key position within the Operations arm of the Moorepay marketing team. The role will work with key stakeholders within the wider Data Operations team to enable and maintain the 'Moorepay Data Platform' (MDP). This includes managing data quality as well as administration and maintenance of the ETL Engine and the Data Lakehouse, enabling the business to build value-adding data products at scale to support core business objectives.
In particular, the role holder will conduct a data cleanse exercise to deliver a defined Customer Master Data Management (MDM) framework, including quality metrics, documentation, code and processes to deliver a ‘gold standard’ MDM within the data platform.
The role-holder will be working primarily within Kleene and Snowflake, as well as associated systems and applications.
Key relationships beyond those stated internally will include supporting colleagues across the wider business, and third parties including ETL/Data Warehouse/CRM providers.
Skills & Experience
* Solution-oriented mindset and logical thinker
* Focus on continuous improvement/+1% methodology
* Takes ownership of their learning – recognises gaps and new opportunities and applies learning to daily activities
* Deep knowledge of ETL processes and sub-systems, data schema, and how to execute best-practice data management
* Stewardship of named data systems within the wider Moorepay/Zellis data governance framework (SugarCRM, Hubspot, Snowflake)
* Data quality frameworks/principles, including reporting and management models, and how to activate them within a Data Operating Model
* Highly data literate with strong data language expertise – SQL and Python primarily – for data manipulation and end-to-end data pipeline management
* Familiar with data-as-code methodology, specifically around version control and documentation/change controls
* Knowledge of working within GDPR and other data regulatory frameworks
* Prioritises accuracy and precision in their work
* Confident communicator – able to discuss complex topics in a straight forward fashion and say what they mean
* Contribute to a positive and healthy team culture
Key accountabilities
* 99.9% availability of Moorepay Data Platform and core functionality
* Delivery of bulletproof, scalable Moorepay Data Platform
* Delivery of scalable Master Data Management function over FY26
* Positive and improving eNPS score
Benefits & culture
Part of the Zellis Group, Moorepay is a team of over 500 friendly professionals across four offices in Swinton (Manchester), Sheffield, Birmingham and Kochi (India). We’re passionate about making Moorepay a fantastic place to work for every single one of our colleagues. The average length of service at Moorepay is 12 years, which speaks for itself!
To help make Moorepay such a great place to work, we focus on three things in our company culture: mental health support, maintaining a healthy work/life balance, and equal opportunities and inclusion for all.
Here’s what you’ll gain if you join our team:
* A career packed with opportunity, in a stable and growing company.
* A comprehensive programme of learning and development.
* Competitive base salary.
* 25 days annual leave, with the opportunity to buy more. You’ll even get your birthday off as well!
* Private medical insurance.
* Life assurance 4x salary.
* Enhanced pension with up to 8.5% employer contributions.
* A huge range of additional flexible benefits across financial & personal wellbeing, lifestyle & leisure
Nice-to-have skills
* ETL
* SQL
* Python
* Swinton, England
Work experience
* Data Infrastructure
* Data Analyst
* Business Intelligence
Languages
* English
Seniority level
* Seniority level
Mid-Senior level
Employment type
* Employment type
Full-time
Job function
* Job function
Business Development and Sales
* Industries
Technology, Information and Internet
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